• DocumentCode
    530199
  • Title

    GLP: A Group Link Prediction Algorithm in DTMNs

  • Author

    Junying, Wu ; Chunhe, Xia ; Liangshuang, Lv ; Haiquan, Wang

  • Author_Institution
    Beijing Key Lab. of Network Technol., Beihang Univ., Beijing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    17-19 Sept. 2010
  • Abstract
    In DTNs, links are rare. Making full use of every link shows great importance to routing protocols. Link Prediction (LP) can predict future links between two nodes. Plenty of algorithms for link prediction have been proposed and were applied to various real networks, like social network. But few were applied to wireless ad hoc networks. Some recent works were done to study mobility prediction on link availability prediction, which was to predict the reliability of existing links. In this paper, we study link prediction algorithms that use only topology information and adjust it to mobility ad hoc networks. We propose a Group Link Prediction Algorithm (GLP). GLP can predict future link not only between nodes, but also between groups. GLP is a distributed, lightweight algorithm. Simulation shows that GLP has significant performance in group mobility ad hoc networks. In the future, a routing protocol in the full use of GLP will be studied.
  • Keywords
    ad hoc networks; mobility management (mobile radio); routing protocols; telecommunication network reliability; DTMN; GLP; group link prediction algorithm; link availability prediction; mobility ad hoc networks; mobility prediction; routing protocols; wireless ad hoc networks; Adaptation model; Computational modeling; Delay; Relays; DTMN; DTN; Disruption Tolerant Network; Group Mobility Model; Link prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Educational and Information Technology (ICEIT), 2010 International Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-8033-3
  • Electronic_ISBN
    978-1-4244-8035-7
  • Type

    conf

  • DOI
    10.1109/ICEIT.2010.5607493
  • Filename
    5607493